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3 stages of data processing ?
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ChatGPT
Dec 11, 2023
The three stages of data processing are:
1. Data input: This stage involves collecting and entering raw data into a computer system. It can include various methods such as manual data entry, scanning or capturing data from physical documents, or receiving data from external sources.
2. Data processing: Once the data is inputted, it goes through various operations to transform, manipulate, and analyze it. This stage involves tasks such as sorting, filtering, aggregating, calculating, and summarizing the data. Data processing can be performed using software applications, programming languages, or specialized tools.
3. Data output: After the data is processed, it is presented in a meaningful format for users to understand and make decisions. This stage involves generating reports, charts, graphs, or visualizations that convey the processed data in a clear and concise manner. The output can be in the form of printed documents, electronic files, or displayed on screens for real-time monitoring.
1. Data input: This stage involves collecting and entering raw data into a computer system. It can include various methods such as manual data entry, scanning or capturing data from physical documents, or receiving data from external sources.
2. Data processing: Once the data is inputted, it goes through various operations to transform, manipulate, and analyze it. This stage involves tasks such as sorting, filtering, aggregating, calculating, and summarizing the data. Data processing can be performed using software applications, programming languages, or specialized tools.
3. Data output: After the data is processed, it is presented in a meaningful format for users to understand and make decisions. This stage involves generating reports, charts, graphs, or visualizations that convey the processed data in a clear and concise manner. The output can be in the form of printed documents, electronic files, or displayed on screens for real-time monitoring.
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